IEEE

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...
National Academies

DOE Should Develop AI-Based Foundation Models Fused with Traditional Computational Methods to Bring Paradigm Shift to Scientific Discovery

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
IEEE

A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model

Abstract: Landslides are one of the most destructive natural disasters in the world, threatening human life and safety. With excellent performance as a foundation model for image segmentation, the ...
TechCrunch

OpenAI, Anthropic, and Block join new Linux Foundation effort to standardize the AI agent era

As AI moves beyond chatbots and toward systems that can take actions, the Linux Foundation is launching a new group dedicated to keeping AI agents from splintering into a mess of incompatible, ...